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    "# Step 0: Import libraries and load environment variables\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "from IPython.display import Markdown, display\n",
    "from openai import OpenAI\n",
    "\n",
    "load_dotenv(override=True)\n",
    "api_key = os.getenv(\"OPENAI_API_KEY\")\n",
    "\n",
    "if not api_key:\n",
    "    print(\"No API key was found!\")\n",
    "elif not api_key.startswith(\"sk-proj-\"):\n",
    "    print(\"An API key was found, but it does not start with 'sk-proj-'! Please ensure you are using the right key.\")\n",
    "elif api_key.strip() != api_key:\n",
    "    print(\"An API key was found, but it looks like it might have space or tab characters at the start or end! Please remove them.\")\n",
    "else:\n",
    "    print(\"API key found and looks good so far!\")\n",
    "\n",
    "# Step 1: Create prompts\n",
    "print(\"[INFO] Creating system prompt ...\")\n",
    "system_prompt = \"You are an assistant that analyzes the contents of \\\n",
    "    email texts and suggests short subject lines for the email based \\\n",
    "    on the requested tone and language. Respond in markdown.\"\n",
    "\n",
    "print(\"[INFO] Creating user prompt ...\")\n",
    "user_prompt = \"\"\"\n",
    "    The text below is an e-mail text for which you are required to \\\n",
    "    provide subject lines. Please provide two snarky, two funny, and \\\n",
    "    two formal short subject lines for the email text. Each of the six \\\n",
    "    subject lines should be presented in both English and French \\\n",
    "    languages, making a total of 12 subject lines. Please provide your \\\n",
    "    answer in markdown.\\\n",
    "    \n",
    "    \\n\\n\n",
    "    \n",
    "    Welcome to arXiv!\n",
    "\n",
    "    Thank you for creating an account and joining the arXiv community. We look\n",
    "    forward to receiving your contribution.\n",
    "\n",
    "    Help Pages\n",
    "    An overview on how to navigate and use arXiv can be found here:\n",
    "    https://arxiv.org/help\n",
    "    https://arxiv.org/about\n",
    "\n",
    "    If you would like to know more about the submission process, please go here:\n",
    "    https://arxiv.org/help/submit\n",
    "\n",
    "    Before Submitting to arXiv\n",
    "    The arXiv.org e-print archive is fully automated and processes nearly\n",
    "    1,000 new submissions per day. To help us keep the process running smoothly\n",
    "    and efficiently please check your submission carefully for mistakes, typos\n",
    "    and layout issues. Once you have submitted your work please check your account\n",
    "    frequently for verification messages and other communication from arXiv.\n",
    "\n",
    "    Contacting arXiv\n",
    "    We have provided extensive help pages to guide you through the process and\n",
    "    to answer the most common questions. If you have problems with the submission\n",
    "    process please contact us here:\n",
    "    https://arxiv.org/help/contact\n",
    "    We aim to assist submitters within one business day, but during times of high\n",
    "    volume or maintenance work we may be slightly delayed in our response.\n",
    "\n",
    "    Thank you for your cooperation.\n",
    "\"\"\"\n",
    "\n",
    "# Step 2: Make messages list\n",
    "print(\"[INFO] Making messages list ...\")\n",
    "messages = [\n",
    "    {\"role\": \"system\", \"content\": system_prompt},\n",
    "    {\"role\": \"user\", \"content\": user_prompt}\n",
    "]\n",
    "\n",
    "# Step 3: Call OpenAI\n",
    "print(\"[INFO] Calling OpenAI ...\")\n",
    "openai = OpenAI()\n",
    "response = openai.chat.completions.create(\n",
    "    model=\"gpt-4o-mini\",\n",
    "    messages=messages\n",
    "    )\n",
    "\n",
    "# Step 4: Print result\n",
    "print(\"[INFO] Print result ...\")\n",
    "display(Markdown(response.choices[0].message.content))\n"
   ]
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